Beyond digitisation and high-res 3D modelling of complex archaeological sites: shaping virtual heritage, XR engagement and preservation of Neanderthal Man’s remains and Lamalunga cave
Abstract
In recent years, the field of reality-based 3D model generation has undergone a profound transformation, impacting disciplines such as preservation, archaeology, anthropology, and virtual museums by introducing concepts like virtual heritage and extended reality (XR). The integration of digital models and 3D survey data has become pivotal, enabling immersive experiences and providing unprecedented access to previously inaccessible archaeological sites.
In 2022, the Soprintendenza Archeologia, Belle Arti e Paesaggio - Città Metropolitana di Bari embarked on a groundbreaking project to explore Lamalunga cave. This cave, housing a 172,000-130,000-year-old Neanderthal skeleton and 500 faunal remnants, became the focus of an interdisciplinary effort aimed at comprehensively documenting its morphological and typological details alongside the Neanderthal remains. Over a meticulous two-year period, the project meticulously recorded 28 previously undiscovered faunal remains using precise scanning, topographic surveying, and close-range photogrammetry. Central to this endeavor is the Science of Representation, employing advanced 3D modelling techniques such as NURBS algorithms and mesh retopology. These methods facilitated the creation of highly detailed and accurate digital replicas, capturing not only the cave’s intricate physical features but also preserving the contextual integrity necessary for detailed analysis and interpretation of the archaeological findings. This study provides an overview of the digitisation process, examining both the capabilities and limitations of digital models for XR applications. By leveraging cutting-edge technology, this approach enhances preservation, accessibility, inclusivity, and global engagement with one of the world’s most significant Neanderthal sites.
DOI: https://doi.org/ 10.20365/disegnarecon.32.2024.6
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Copyright (c) 2024 Fabrizio Banfi, Elena Rosangela Dellù, Giovanna Cacudi
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